Ogulcan Aydogan DevOps Engineer in London

Oğulcan Aydoğan

DevOps, Cloud & AI Engineer
Phone

+44 7355 005050

Location

London,
United Kingdom

resume

Summary

DevOps, Cloud & AI Engineer with 6+ years of experience designing, building, and operating production-grade cloud infrastructure at scale. Track record of reducing deployment lead times by over 90%, managing 150+ microservices on Kubernetes, and driving infrastructure cost optimisation across multi-account AWS environments. Certified in AWS, Terraform, Kubernetes, and Docker. Passionate about platform engineering, observability, and enabling developer self-service through automation and Infrastructure as Code.

Education

Sep 2009 - May 2013
Bachelor of Faculty of Arts and Science - University of Toronto

Toronto, ON

experience

  • Designing and operating cloud-native infrastructure on AWS, managing Kubernetes workloads and CI/CD pipelines for production services
  • Building AI-powered automation tools and integrating large language models into developer workflows and internal platforms
  • Implementing Infrastructure as Code with Terraform across multi-environment deployments with GitOps-driven delivery
  • Architected and maintained CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment lead time from 2 hours to under 8 minutes
  • Managed Kubernetes clusters on AWS EKS orchestrating 150+ microservices serving 10M+ daily API requests with 99.95% uptime
  • Built reusable Terraform modules for multi-account AWS infrastructure, enabling self-service provisioning across 12 AWS accounts
  • Designed and deployed a full observability stack (Prometheus, Grafana, Loki, Tempo) reducing mean time to resolution by 65%
  • Implemented GitOps workflows with Argo CD and ApplicationSets, standardising deployments across development, staging, and production
  • Led cost optimisation initiatives cutting monthly AWS spend by 35% through right-sizing, Reserved Instances, and Spot Fleet strategies
  • Migrated legacy on-premise workloads to AWS, containerising 30+ services with Docker and deploying to ECS and EKS
  • Automated infrastructure provisioning with Terraform and CloudFormation across multi-region AWS environments
  • Built and maintained Jenkins pipelines for 40+ repositories, integrating automated testing, security scanning, and artifact management
  • Implemented centralised logging and monitoring with CloudWatch, ELK Stack, and custom Grafana dashboards
  • Designed VPC architectures with Transit Gateway, enabling secure cross-account networking for 8 AWS accounts
  • Managed real-time sports data operations for live events, ensuring sub-second data delivery across global CDN infrastructure
  • Led a team of 15+ operators handling live coverage of 200+ sporting events per week across multiple time zones
  • Developed operational dashboards and automation scripts reducing manual intervention by 40% during peak event hours
  • Collaborated with engineering teams on system reliability, contributing to platform uptime improvements from 99.5% to 99.9%
  • Designed incident response procedures and escalation workflows adopted company-wide across 3 regional offices

Skills

AWS (EKS, EC2, S3, RDS, Lambda, CloudFront) Terraform & Terragrunt Kubernetes & Helm Docker & Container Orchestration Jenkins & GitHub Actions Argo CD & GitOps Prometheus, Grafana & Loki Python, Bash & Java Ansible & CloudFormation Linux System Administration Networking & Security (VPC, IAM, SCP) Agile & Scrum Methodologies Incident Management & SRE Cost Optimisation & FinOps

Additional Information

  • Certifications: AWS Solutions Architect Associate, AWS Data Engineer Associate, HashiCorp Terraform Associate (003), Certified Kubernetes Administrator (CKA), Docker Certified (Silver)
  • Open Source: Published Terraform modules on the HashiCorp Terraform Registry; Docker images on Docker Hub; active GitHub contributor with public repositories for infrastructure automation
  • Side Projects: Built and maintain 6 production web applications (rsvp, bash, price, live, doviz, convert) hosted on personal AWS infrastructure with CI/CD pipelines
  • Languages: English (Fluent), Turkish (Native)